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            <td width="35%" class="headerValue"><a href="../../../index.html">top level</a> - <a href="index.html">src/caffe/layers</a> - concat_layer.cpp<span style="font-size: 80%;"> (source / <a href="concat_layer.cpp.func-sort-c.html">functions</a>)</span></td>
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            <td width="10%" class="headerCovTableHead">Hit</td>
            <td width="10%" class="headerCovTableHead">Total</td>
            <td width="15%" class="headerCovTableHead">Coverage</td>
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            <td class="headerItem">Test:</td>
            <td class="headerValue">code analysis</td>
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            <td class="headerItem">Lines:</td>
            <td class="headerCovTableEntry">2</td>
            <td class="headerCovTableEntry">53</td>
            <td class="headerCovTableEntryLo">3.8 %</td>
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            <td class="headerItem">Date:</td>
            <td class="headerValue">2020-09-11 22:50:33</td>
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            <td class="headerItem">Functions:</td>
            <td class="headerCovTableEntry">2</td>
            <td class="headerCovTableEntry">16</td>
            <td class="headerCovTableEntryLo">12.5 %</td>
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            <td class="headerValueLeg">            Lines:
            <span class="coverLegendCov">hit</span>
            <span class="coverLegendNoCov">not hit</span>
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<pre class="sourceHeading">          Line data    Source code</pre>
<pre class="source">
<a name="1"><span class="lineNum">       1 </span>            : #include &lt;vector&gt;</a>
<span class="lineNum">       2 </span>            : 
<span class="lineNum">       3 </span>            : #include &quot;caffe/layers/concat_layer.hpp&quot;
<span class="lineNum">       4 </span>            : #include &quot;caffe/util/math_functions.hpp&quot;
<span class="lineNum">       5 </span>            : 
<span class="lineNum">       6 </span>            : namespace caffe {
<a name="7"><span class="lineNum">       7 </span>            : </a>
<span class="lineNum">       8 </span>            : template &lt;typename Dtype&gt;
<span class="lineNum">       9 </span><span class="lineNoCov">          0 : void ConcatLayer&lt;Dtype&gt;::LayerSetUp(const vector&lt;Blob&lt;Dtype&gt;*&gt;&amp; bottom,</span>
<span class="lineNum">      10 </span>            :       const vector&lt;Blob&lt;Dtype&gt;*&gt;&amp; top) {
<span class="lineNum">      11 </span>            :   const ConcatParameter&amp; concat_param = this-&gt;layer_param_.concat_param();
<span class="lineNum">      12 </span><span class="lineNoCov">          0 :   CHECK(!(concat_param.has_axis() &amp;&amp; concat_param.has_concat_dim()))</span>
<span class="lineNum">      13 </span>            :       &lt;&lt; &quot;Either axis or concat_dim should be specified; not both.&quot;;
<span class="lineNum">      14 </span><span class="lineNoCov">          0 : }</span>
<a name="15"><span class="lineNum">      15 </span>            : </a>
<span class="lineNum">      16 </span>            : template &lt;typename Dtype&gt;
<span class="lineNum">      17 </span><span class="lineNoCov">          0 : void ConcatLayer&lt;Dtype&gt;::Reshape(const vector&lt;Blob&lt;Dtype&gt;*&gt;&amp; bottom,</span>
<span class="lineNum">      18 </span>            :       const vector&lt;Blob&lt;Dtype&gt;*&gt;&amp; top) {
<span class="lineNum">      19 </span><span class="lineNoCov">          0 :   const int num_axes = bottom[0]-&gt;num_axes();</span>
<span class="lineNum">      20 </span>            :   const ConcatParameter&amp; concat_param = this-&gt;layer_param_.concat_param();
<span class="lineNum">      21 </span><span class="lineNoCov">          0 :   if (concat_param.has_concat_dim()) {</span>
<span class="lineNum">      22 </span><span class="lineNoCov">          0 :     concat_axis_ = static_cast&lt;int&gt;(concat_param.concat_dim());</span>
<span class="lineNum">      23 </span>            :     // Don't allow negative indexing for concat_dim, a uint32 -- almost
<span class="lineNum">      24 </span>            :     // certainly unintended.
<span class="lineNum">      25 </span><span class="lineNoCov">          0 :     CHECK_GE(concat_axis_, 0) &lt;&lt; &quot;casting concat_dim from uint32 to int32 &quot;</span>
<span class="lineNum">      26 </span>            :         &lt;&lt; &quot;produced negative result; concat_dim must satisfy &quot;
<span class="lineNum">      27 </span>            :         &lt;&lt; &quot;0 &lt;= concat_dim &lt; &quot; &lt;&lt; kMaxBlobAxes;
<span class="lineNum">      28 </span><span class="lineNoCov">          0 :     CHECK_LT(concat_axis_, num_axes) &lt;&lt; &quot;concat_dim out of range.&quot;;</span>
<span class="lineNum">      29 </span>            :   } else {
<span class="lineNum">      30 </span><span class="lineNoCov">          0 :     concat_axis_ = bottom[0]-&gt;CanonicalAxisIndex(concat_param.axis());</span>
<span class="lineNum">      31 </span>            :   }
<span class="lineNum">      32 </span>            :   // Initialize with the first blob.
<span class="lineNum">      33 </span><span class="lineNoCov">          0 :   vector&lt;int&gt; top_shape = bottom[0]-&gt;shape();</span>
<span class="lineNum">      34 </span><span class="lineNoCov">          0 :   num_concats_ = bottom[0]-&gt;count(0, concat_axis_);</span>
<span class="lineNum">      35 </span><span class="lineNoCov">          0 :   concat_input_size_ = bottom[0]-&gt;count(concat_axis_ + 1);</span>
<span class="lineNum">      36 </span><span class="lineNoCov">          0 :   int bottom_count_sum = bottom[0]-&gt;count();</span>
<span class="lineNum">      37 </span><span class="lineNoCov">          0 :   for (int i = 1; i &lt; bottom.size(); ++i) {</span>
<span class="lineNum">      38 </span><span class="lineNoCov">          0 :     CHECK_EQ(num_axes, bottom[i]-&gt;num_axes())</span>
<span class="lineNum">      39 </span>            :         &lt;&lt; &quot;All inputs must have the same #axes.&quot;;
<span class="lineNum">      40 </span><span class="lineNoCov">          0 :     for (int j = 0; j &lt; num_axes; ++j) {</span>
<span class="lineNum">      41 </span><span class="lineNoCov">          0 :       if (j == concat_axis_) { continue; }</span>
<span class="lineNum">      42 </span><span class="lineNoCov">          0 :       CHECK_EQ(top_shape[j], bottom[i]-&gt;shape(j))</span>
<span class="lineNum">      43 </span>            :           &lt;&lt; &quot;All inputs must have the same shape, except at concat_axis.&quot;;
<span class="lineNum">      44 </span>            :     }
<span class="lineNum">      45 </span><span class="lineNoCov">          0 :     bottom_count_sum += bottom[i]-&gt;count();</span>
<span class="lineNum">      46 </span><span class="lineNoCov">          0 :     top_shape[concat_axis_] += bottom[i]-&gt;shape(concat_axis_);</span>
<span class="lineNum">      47 </span>            :   }
<span class="lineNum">      48 </span><span class="lineNoCov">          0 :   top[0]-&gt;Reshape(top_shape);</span>
<span class="lineNum">      49 </span><span class="lineNoCov">          0 :   CHECK_EQ(bottom_count_sum, top[0]-&gt;count());</span>
<span class="lineNum">      50 </span><span class="lineNoCov">          0 :   if (bottom.size() == 1) {</span>
<span class="lineNum">      51 </span><span class="lineNoCov">          0 :     top[0]-&gt;ShareData(*bottom[0]);</span>
<span class="lineNum">      52 </span><span class="lineNoCov">          0 :     top[0]-&gt;ShareDiff(*bottom[0]);</span>
<span class="lineNum">      53 </span>            :   }
<span class="lineNum">      54 </span><span class="lineNoCov">          0 : }</span>
<a name="55"><span class="lineNum">      55 </span>            : </a>
<span class="lineNum">      56 </span>            : template &lt;typename Dtype&gt;
<span class="lineNum">      57 </span><span class="lineNoCov">          0 : void ConcatLayer&lt;Dtype&gt;::Forward_cpu(const vector&lt;Blob&lt;Dtype&gt;*&gt;&amp; bottom,</span>
<span class="lineNum">      58 </span>            :       const vector&lt;Blob&lt;Dtype&gt;*&gt;&amp; top) {
<span class="lineNum">      59 </span><span class="lineNoCov">          0 :   if (bottom.size() == 1) { return; }</span>
<span class="lineNum">      60 </span><span class="lineNoCov">          0 :   Dtype* top_data = top[0]-&gt;mutable_cpu_data();</span>
<span class="lineNum">      61 </span>            :   int offset_concat_axis = 0;
<span class="lineNum">      62 </span><span class="lineNoCov">          0 :   const int top_concat_axis = top[0]-&gt;shape(concat_axis_);</span>
<span class="lineNum">      63 </span><span class="lineNoCov">          0 :   for (int i = 0; i &lt; bottom.size(); ++i) {</span>
<span class="lineNum">      64 </span><span class="lineNoCov">          0 :     const Dtype* bottom_data = bottom[i]-&gt;cpu_data();</span>
<span class="lineNum">      65 </span><span class="lineNoCov">          0 :     const int bottom_concat_axis = bottom[i]-&gt;shape(concat_axis_);</span>
<span class="lineNum">      66 </span><span class="lineNoCov">          0 :     for (int n = 0; n &lt; num_concats_; ++n) {</span>
<span class="lineNum">      67 </span><span class="lineNoCov">          0 :       caffe_copy(bottom_concat_axis * concat_input_size_,</span>
<span class="lineNum">      68 </span>            :           bottom_data + n * bottom_concat_axis * concat_input_size_,
<span class="lineNum">      69 </span>            :           top_data + (n * top_concat_axis + offset_concat_axis)
<span class="lineNum">      70 </span><span class="lineNoCov">          0 :               * concat_input_size_);</span>
<span class="lineNum">      71 </span>            :     }
<span class="lineNum">      72 </span><span class="lineNoCov">          0 :     offset_concat_axis += bottom_concat_axis;</span>
<span class="lineNum">      73 </span>            :   }
<span class="lineNum">      74 </span>            : }
<a name="75"><span class="lineNum">      75 </span>            : </a>
<span class="lineNum">      76 </span>            : template &lt;typename Dtype&gt;
<span class="lineNum">      77 </span><span class="lineNoCov">          0 : void ConcatLayer&lt;Dtype&gt;::Backward_cpu(const vector&lt;Blob&lt;Dtype&gt;*&gt;&amp; top,</span>
<span class="lineNum">      78 </span>            :       const vector&lt;bool&gt;&amp; propagate_down, const vector&lt;Blob&lt;Dtype&gt;*&gt;&amp; bottom) {
<span class="lineNum">      79 </span><span class="lineNoCov">          0 :   if (bottom.size() == 1) { return; }</span>
<span class="lineNum">      80 </span><span class="lineNoCov">          0 :   const Dtype* top_diff = top[0]-&gt;cpu_diff();</span>
<span class="lineNum">      81 </span>            :   int offset_concat_axis = 0;
<span class="lineNum">      82 </span><span class="lineNoCov">          0 :   const int top_concat_axis = top[0]-&gt;shape(concat_axis_);</span>
<span class="lineNum">      83 </span><span class="lineNoCov">          0 :   for (int i = 0; i &lt; bottom.size(); ++i) {</span>
<span class="lineNum">      84 </span><span class="lineNoCov">          0 :     const int bottom_concat_axis = bottom[i]-&gt;shape(concat_axis_);</span>
<span class="lineNum">      85 </span><span class="lineNoCov">          0 :     if (propagate_down[i]) {</span>
<span class="lineNum">      86 </span><span class="lineNoCov">          0 :       Dtype* bottom_diff = bottom[i]-&gt;mutable_cpu_diff();</span>
<span class="lineNum">      87 </span><span class="lineNoCov">          0 :       for (int n = 0; n &lt; num_concats_; ++n) {</span>
<span class="lineNum">      88 </span><span class="lineNoCov">          0 :         caffe_copy(bottom_concat_axis * concat_input_size_, top_diff +</span>
<span class="lineNum">      89 </span>            :             (n * top_concat_axis + offset_concat_axis) * concat_input_size_,
<span class="lineNum">      90 </span><span class="lineNoCov">          0 :             bottom_diff + n * bottom_concat_axis * concat_input_size_);</span>
<span class="lineNum">      91 </span>            :       }
<span class="lineNum">      92 </span>            :     }
<span class="lineNum">      93 </span><span class="lineNoCov">          0 :     offset_concat_axis += bottom_concat_axis;</span>
<span class="lineNum">      94 </span>            :   }
<span class="lineNum">      95 </span>            : }
<a name="96"><span class="lineNum">      96 </span>            : </a>
<span class="lineNum">      97 </span>            : #ifdef CPU_ONLY
<span class="lineNum">      98 </span><span class="lineNoCov">          0 : STUB_GPU(ConcatLayer);</span>
<span class="lineNum">      99 </span>            : #endif
<a name="100"><span class="lineNum">     100 </span>            : </a>
<span class="lineNum">     101 </span>            : INSTANTIATE_CLASS(ConcatLayer);
<a name="102"><span class="lineNum">     102 </span><span class="lineCov">          3 : REGISTER_LAYER_CLASS(Concat);</span></a>
<span class="lineNum">     103 </span>            : 
<span class="lineNum">     104 </span><span class="lineCov">          3 : }  // namespace caffe</span>
</pre>
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